Insight Enterprises (NSIT) Cash & Equivalents (2010 - 2026)
Insight Enterprises (NSIT) reported Cash & Equivalents of $363.48 million for Q2 2026, up 17.6% from $309.14 million a year earlier but down 17.5% from the prior quarter.
Insight Enterprises (NSIT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Insight Enterprises posted Cash & Equivalents of $358.02 million, up 38.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $259.23 million in FY2024 (-3.5%), $268.73 million in FY2023 (+64.2%), $163.64 million in FY2022 (+57.6%) and $103.84 million in FY2021 (-19.1%).
- Five-year quarterly Cash & Equivalents spans a low of $103.84 million in Q4 2021 and a high of $547.02 million in Q3 2025.
- Year over year, Cash & Equivalents has now increased in each of the last five quarters, with growth averaging 24.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2024 (growth of 115.7%); the low point was Q4 2021 (a decline of 19.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $440.63 million (Q1 2026), $358.02 million (Q4 2025) and $547.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | 749.30 Mn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Insight Enterprises | 4.76 Bn | 3.05 Bn | 521.60 Mn | 363.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 363.48 Mn |
| Mar 31, 2026 | 440.63 Mn |
| Dec 31, 2025 | 358.02 Mn |
| Sep 30, 2025 | 547.02 Mn |
| Jun 30, 2025 | 309.14 Mn |
| Mar 31, 2025 | 321.85 Mn |
| Dec 31, 2024 | 259.23 Mn |
| Sep 30, 2024 | 317.45 Mn |
| Jun 30, 2024 | 256.31 Mn |
| Mar 31, 2024 | 379.11 Mn |
| Dec 31, 2023 | 268.73 Mn |
| Sep 30, 2023 | 244.32 Mn |
| Jun 30, 2023 | 195.95 Mn |
| Mar 31, 2023 | 175.73 Mn |
| Dec 31, 2022 | 163.64 Mn |
| Sep 30, 2022 | 136.65 Mn |
| Jun 30, 2022 | 137.53 Mn |
| Mar 31, 2022 | 114.76 Mn |
| Dec 31, 2021 | 103.84 Mn |
| Sep 30, 2021 | 107.35 Mn |
Insight Enterprises Cash & Equivalents API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NSIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "NSIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NSIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();